*     cause loss of precision)
   */
  public void addAll(Iterator<? extends Number> values) {
    while (values.hasNext()) {
      add(values.next().doubleValue());
    }
  }

  /**
   * Adds the given values to the dataset.
   *
   * @param values a series of values
   */
  public void addAll(double... values) {

        }

        private WindowBucket getCurrentBucket() {
            long now = System.currentTimeMillis();

            // Check if we need to advance to next bucket
            if (now - lastBucketTime >= bucketSizeInMillis) {
                currentBucketIndex = (currentBucketIndex + 1) % numberOfBuckets;
                buckets[currentBucketIndex].reset(now);

        }
        return OptionalThing.of(pipeline);
    }

    /**
     * Refreshes the crawling configuration cache by invalidating all cached entries.
     * This forces the next access to reload configurations from the underlying services.
     */
    public void refresh() {
        crawlingConfigCache.invalidateAll();
    }

    /**

   * ...
   * synchronized (table) {  // Synchronizing on table, not row!
   *   Iterator<Entry<C, V>> i = row.entrySet().iterator(); // Must be in synchronized block
   *   while (i.hasNext()) {
   *     foo(i.next());
   *   }
   * }
   * }
   *
   * <p>Failure to follow this advice may result in non-deterministic behavior.
   *
   * <p>The returned table will be serializable if the specified table is serializable.

{!../../docs_src/bigger_applications/app/routers/items.py!}
```

#### How relative imports work { #how-relative-imports-work }

/// tip

If you know perfectly how imports work, continue to the next section below.

///

A single dot `.`, like in:

```Python
from .dependencies import get_token_header
```

would mean:

   * ...
   * synchronized (multimap) {  // Synchronizing on multimap, not values!
   *   Iterator<V> i = values.iterator(); // Must be in synchronized block
   *   while (i.hasNext()) {
   *     foo(i.next());
   *   }
   * }
   * }
   *
   * <p>Failure to follow this advice may result in non-deterministic behavior.
   *
   * <p>Note that the generated multimap's {@link Multimap#removeAll} and {@link

   * ...
   * synchronized (multimap) {  // Synchronizing on multimap, not values!
   *   Iterator<V> i = values.iterator(); // Must be in synchronized block
   *   while (i.hasNext()) {
   *     foo(i.next());
   *   }
   * }
   * }
   *
   * <p>Failure to follow this advice may result in non-deterministic behavior.
   *
   * <p>Note that the generated multimap's {@link Multimap#removeAll} and {@link

          .build(),
      )
    val response1 = call1.execute()
    assertThat(response1.body.string()).isEqualTo("abc")
    response1.close()

    // Force a fresh connection for the next request.
    client.connectionPool.evictAll()

    // Confirm that a second request also succeeds. This should detect caching problems.
    server.enqueue(
      MockResponse
        .Builder()

aiming to keep the semantics simple, understandable, and useful.
This section gives a general overview of the approach and should suffice for most programmers.
The memory model is specified more formally in the next section.
</p>

<p>
A data race is defined as
a write to a memory location happening concurrently with another read or write to that same location,

	mac.Write(partIDbin[:])
	partEncryptionKey := mac.Sum(nil)

	// Limit the reader, so the decryptor doesn't receive bytes
	// from the next part (different DARE stream)
	encLenToRead := d.parts[d.partIndex].Size - d.partEncRelOffset
	decrypter, err := newDecryptReaderWithObjectKey(io.LimitReader(d.reader, encLenToRead), partEncryptionKey, d.startSeqNum)